ELK123 Effective Use of Artificial Intelligence Tools

3 ECTS - 2-0 Duration (T+A)- 1. Semester- 2 National Credit

Information

Code ELK123
Name Effective Use of Artificial Intelligence Tools
Term 2024-2025 Academic Year
Semester 1. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Label GC General Culture Courses E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör.Dr. ALİ KEMAL UĞUR
Course Instructor Öğr. Gör.Dr. ALİ KEMAL UĞUR (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of the course is to provide students with an understanding of artificial intelligence technologies, how to use these technologies effectively in various applications, and awareness of ethical and security issues that may be encountered in this process.

Course Content

Artificial Intelligence Introduction and Basic Concepts, Prompt Engineering, Prompt Patterns, Artificial Intelligence Tools and Platforms, Data Science and Data Analysis, Ethics and Security.

Course Precondition

None

Resources

1) Altınbaş, Ş. (2023). ChatGPT The Magic of Digital Language - Theory and Application. Istanbul, Kodlab Publishing House. 2) Bentley, Peter J. (2022). Artificial Intelligence and Robotics: A Short Journey in the Strange World of Technology. (Trans. Ed. [Emre Can Ercan). Istanbul, Kronik Publishing House.

Notes

BTK Academy. Training Name: Introduction to Artificial Intelligence. https://www.btkakademi.gov.tr/


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the basic concepts, history and development process of artificial intelligence.
LO02 Explains the differences between narrow AI, general AI, and super AI.
LO03 It creates effective and accurate prompts for artificial intelligence models.
LO04 Performs text analysis using natural language processing techniques and tools.
LO05 Effectively implements data collection, cleaning and preparation processes.
LO06 Realizes projects by installing and using popular artificial intelligence tools and platforms.
LO07 Identifies ethical and security issues that may be encountered in artificial intelligence applications.
LO08 Makes conscious and responsible decisions on ethical and security issues.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains basic theoretical information about mathematics, science and electricity.
PLO02 Bilgi - Kuramsal, Olgusal Explains the basic principles of occupational safety, occupational health, occupational accidents, environmental protection and quality processes.
PLO03 Bilgi - Kuramsal, Olgusal Explains the operation of basic analog and digital electronic circuits.
PLO04 Bilgi - Kuramsal, Olgusal Defines low and high voltage electrical switchgear elements and explains their features.
PLO05 Bilgi - Kuramsal, Olgusal Defines the basic concepts and elements of control systems, explains their functions and applies simple circuits.
PLO06 Bilgi - Kuramsal, Olgusal Explain the basic concepts of generation, transmission and distribution of electrical energy.
PLO07 Beceriler - Bilişsel, Uygulamalı Researches, evaluates and implements current developments and practices related to his/her profession using appropriate technologies. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Selects and uses information technologies (software, programs, animations, etc.) related to his/her profession and effectively evaluates them in applications. 5
PLO09 Beceriler - Bilişsel, Uygulamalı Draws and interprets electrical installation projects using computer-aided programs.
PLO10 Beceriler - Bilişsel, Uygulamalı Performs installation of electrical machines and implements maintenance processes.
PLO11 Beceriler - Bilişsel, Uygulamalı Detects faults in energy panels and applies appropriate repair techniques.
PLO12 Beceriler - Bilişsel, Uygulamalı Designs and implements basic automation systems using programmable control devices.
PLO13 Beceriler - Bilişsel, Uygulamalı Makes accurate and reliable measurements using electrical measuring devices.
PLO14 Beceriler - Bilişsel, Uygulamalı Analyze electrical circuits and apply appropriate analysis methods.
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Presents knowledge and skills in a clear, understandable and effective manner both verbally and in writing. 3
PLO16 Yetkinlikler - Öğrenme Yetkinliği Acts consciously about career management and lifelong learning and evaluates development opportunities. 5
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik While performing his/her profession, he/she acts in accordance with historical, social, scientific, cultural and ethical values. 4
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik He/she follows the developments in his/her field using a foreign language and communicates effectively with his/her colleagues.


Week Plan

Week Topic Preparation Methods
1 Introduction and Basic Concepts Examining the course information package Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Types of Artificial Intelligence Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Machine Learning Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Prompt Engineering Techniques 1 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
5 Prompt Engineering Techniques 2 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
6 Data Collection and Preparation Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
7 Data Cleansing Techniques Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Artificial Intelligence Tools 1 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
10 Artificial Intelligence Tools 2 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
11 Artificial Intelligence Tools 3 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
12 Project Creation and Planning with Artificial Intelligence 1 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Grup Çalışması, Beyin Fırtınası
13 Project Creation and Planning with Artificial Intelligence 2 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Grup Çalışması, Proje Temelli Öğrenme
14 Project Creation and Planning with Artificial Intelligence 3 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Grup Çalışması, Proje Temelli Öğrenme
15 Ethics and Security in Artificial Intelligence Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 24.02.2025 12:24